✨ Discover this awesome post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Architecture Optimized for Flash-Speed Decoding and Inference The architecture of Step 3.5 Flash is defined by a model-system co-design that prioritizes inference cost and speed as the core architectural constraint. We employ a Sparse Mixture-of-Experts (MoE) backbone to decouple global model capacity from per-token computation. While the total knowledge base spans 196B parameters, the system only activates 11B parameters per token during inference. To further reduce memory overhead, we strategically utilize dense layers for the first few layers of the network for high intelligence density.…
